Pedro Antonio Gutiérrez
Pedro Antonio Gutiérrez
Full Professor of Computer Science, University of Córdoba (Spain)
Verified email at - Homepage
Cited by
Cited by
Ordinal regression methods: survey and experimental study
PA Gutiérrez, M Pérez-Ortiz, J Sánchez-Monedero, F Fernández-Navarro, ...
IEEE Transactions on Knowledge and Data Engineering 28 (1), 127-146, 2016
Object-Based Image Classification of Summer Crops with Machine Learning Methods
JM Peña, PA Gutiérrez, C Hervás-Martínez, J Six, RE Plant, ...
Remote Sensing 6 (6), 5019-5041, 2014
A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Applied Soft Computing 37, 533-544, 2015
Selecting patterns and features for between-and within-crop-row weed mapping using UAV-imagery
M Pérez-Ortiz, JM Peña, PA Gutiérrez, J Torres-Sánchez, ...
Expert Systems with Applications 47, 85-94, 2016
Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
JC Fernández, FJ Martínez-Estudillo, C Hervás, PA Gutiérrez
IEEE Transactions on Neural Networks 21 (5), 750-770, 2010
A dynamic over-sampling procedure based on sensitivity for multi-class problems
F Fernández-Navarro, C Hervás-Martínez, P Antonio Gutiérrez
Pattern Recognition 44 (8), 1821-1833, 2011
A Review of Classification Problems and Algorithms in Renewable Energy Applications
M Pérez-Ortiz, S Jiménez-Fernández, PA Gutiérrez, E Alexandre, ...
Energies 9 (8), 607, 2016
Metrics to guide a multi-objective evolutionary algorithm for ordinal classification
M Cruz-Ramírez, C Hervás-Martínez, J Sánchez-Monedero, PA Gutiérrez
Neurocomputing 135, 21-31, 2014
Evolutionary product-unit neural networks classifiers
FJ Martínez-Estudillo, C Hervás-Martínez, PA Gutiérrez, ...
Neurocomputing 72 (1-3), 548-561, 2008
Monotonic classification: An overview on algorithms, performance measures and data sets
JR Cano, PA Gutiérrez, B Krawczyk, M Woźniak, S García
Neurocomputing 341, 168-182, 2019
Logistic regression by means of evolutionary radial basis function neural networks
PA Gutiérrez, C Hervás-Martínez, FJ Martínez-Estudillo
IEEE Transactions on Neural Networks 22 (2), 246-263, 2011
MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks
F Fernández-Navarro, C Hervás-Martínez, J Sanchez-Monedero, ...
Neurocomputing 74 (16), 2502-2510, 2011
Evolutionary artificial neural networks for accurate solar radiation prediction
D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, AM Gómez-Orellana, ...
Energy 210, 118374, 2020
Machine learning methods for binary and multiclass classification of melanoma thickness from dermoscopic images
A Sáez, J Sánchez-Monedero, PA Gutiérrez, C Hervás-Martínez
IEEE transactions on medical imaging 35 (4), 1036-1045, 2015
Oversampling the minority class in the feature space
M Pérez-Ortiz, PA Gutiérrez, P Tino, C Hervás-Martínez
IEEE transactions on neural networks and learning systems 27 (9), 1947-1961, 2015
Significant wave height and energy flux range forecast with machine learning classifiers
JC Fernández, S Salcedo-Sanz, PA Gutiérrez, E Alexandre, ...
Engineering Applications of Artificial Intelligence 43, 44-53, 2015
Graph-Based Approaches for Over-sampling in the context of Ordinal Regression
M Perez-Ortiz, P Gutierrez, C Hervas Martinez, X Yao
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1233-1245, 2015
Logistic regression product-unit neural networks for mapping Ridolfia segetum infestations in sunflower crop using multitemporal remote sensed data
PA Gutiérrez, F López-Granados, JM Peña-Barragán, M Jurado-Expósito, ...
computers and electronics in agriculture 64 (2), 293-306, 2008
Multi-task learning for the prediction of wind power ramp events with deep neural networks
M Dorado-Moreno, N Navarin, PA Gutiérrez, L Prieto, A Sperduti, ...
Neural Networks 123, 401-411, 2020
Machine learning regression and classification methods for fog events prediction
C Castillo-Botón, D Casillas-Pérez, C Casanova-Mateo, S Ghimire, ...
Atmospheric Research 272, 106157, 2022
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